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A discrete particle swarm optimization algorithm with local search for a production-based two-echelon single-vendor multiple-buyer supply chain
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نویسنده
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Seifbarghy Mehdi ,Mirzaei Kalani Masoud ,Hemmati Mojtaba
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منبع
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journal of industrial engineering international - 2016 - دوره : 12 - شماره : 1 - صفحه:29 -43
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چکیده
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This paper formulates a two-echelon singleproducer multi-buyer supply chain model, while a single product is produced and transported to the buyers by the producer. the producer and the buyers apply vendormanaged inventory mode of operation. it is assumed that the producer applies economic production quantity policy, which implies a constant production rate at the producer. the operational parameters of each buyer are sales quantity, sales price and production rate. channel profit of the supply chain and contract price between the producer and each buyer is determined based on the values of the operational parameters. since the model belongs to nonlinear integer programs, we use a discrete particle swarm optimization algorithm (dpso) to solve the addressed problem; however, the performance of the dpso is compared utilizing two well-known heuristics, namely genetic algorithm and simulated annealing. a number of examples are provided to verify the model and assess the performance of the proposed heuristics. experimental results indicate that dpso outperforms the rival heuristics, with respect to some comparison metrics.
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کلیدواژه
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Vendor-managed inventory ,Economic production quantity ,Supply chain ,Particle swarm optimization
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آدرس
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alzahra university, Department of Industrial Engineering, ایران, Islamic Azad University, Qazvin Branch, Faculty of Industrial and Mechanical Engineering, ایران, Islamic Azad University, Qazvin Branch, Faculty of Industrial and Mechanical Engineering, ایران
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Authors
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